Drives strategic initiatives in product pricing and monetization through analytics, operations, and cross-functional partnerships. Requires 2-5 years experience in strategy/ops, SQL proficiency, and strong communication skills.
83k – 162k
Hybrid2+ YOEData Analytics
About the role
Responsibilities
Lead and coordinate cross-functional strategic initiatives to identify and execute against opportunities to improve our business
Partner with our Product and go-to-market teams to develop and implement coherent strategies and business plans
Apply strategy and operations experience to uncover operational issues and drive process improvements at MongoDB
Conduct ad-hoc analysis in support of cross-functional stakeholders and executive management across all business functions
Embed yourself with other teams in the company to understand the relevant questions and needs of the business, and use that to inform analysis
Effectively communicate analytical findings to non-technical audiences
Requirements
BA/BS in a quantitative field
2-5 years of experience in business strategy and operations, preferably as a management consultant or at a data-driven product/technology company
Proven track record of using data to drive business decisions including the ability to structure problems for analysis
Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner
Advanced Excel and Google Slides or PowerPoint skills
Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python or R is a plus
Ability to move quickly and iterate on analyses
Comfort with ambiguity and ability to work in a self-guided manner
Success Measures
Within 1 month, get up to speed on the analytical tools we use, the products we offer our customers and our market and competitors
Within 2 months, begin identifying and leading initiatives to scale the business and/or deliver process improvements
Within 3 months, scope and kick-off your first major initiative, with input from Business Operations and cross-functional teams
Senior Data Analyst partnering with People/HR teams to transform organizational data into actionable insights. Conduct deep-dive analyses on engagement, retention and productivity; build dashboards and data repositories; requires advanced SQL, Python/R, and Tableau.
83k – 162k
Remote3+ YOEData Analytics
Senior Business Intelligence Analyst
Canary TechnologiesNew York, NY
Leads analytics strategy, builds data pipelines and dashboards, owns metrics and data quality for business decisions. Requires 5+ years BI experience, expert SQL, data warehouse and BI tool proficiency.
80k – 130k
Hybrid5+ YOEData Analytics
Senior Research Associate
WirescreenNew York, NY +1
Curates structured datasets on companies, people, and networks using investigative research in English and Chinese sources. Partners with engineering for data quality and supports customers on supply chain intelligence, requiring 4+ years in investigations or due diligence.
80k – 120k
Hybrid4+ YOEData Analytics
Revenue Operations Senior Analyst
NavanNew York, NY
Supports GTM strategy optimization as analytical partner to Enterprise sales leaders, handling planning models, forecasting, reporting, KPIs, and process improvements using Salesforce and SQL. Requires 3-5+ years in revenue operations or sales with strong analytical skills.
86k – 145k
On-site3+ YOEData Analytics
Senior Revenue Operations Analyst, Data Quality
NavanNew York, NY
Owns GTM data quality, integrates third-party data into CRM like Salesforce, builds dashboards, and manages territories. Requires 3+ years in RevOps/Sales Strategy, 5+ years SQL, and bachelor's degree.